1 Data preparation

Only data from 2016-07-01 onwards are included!

1.1 Exclusions

Raw dataset consists of 1,021,607 monthly stats of 78,873 properties.

First, 34 records of 5 properties located in remote areas (Christmas Island, Cocos (Keeling) Islands, Norfolk Island, Lord Howe Island) were excluded.

Second, 256,703 records of 46,730 inactive properties (sic!) were excluded.

Final dataset of 764,870 monthly records of 77,330 properties was aggregated to SA3 levels.

Locations of HA properties (points) were linked to ABS data of SA3 areas (polygons) from 2016. Spatial join in ArcGIS was used with CLOSEST option to capture locations that did not overlap with polygons (see example here https://www.airbnb.com/rooms/19103554 - due to privacy reasons, locations are not exact).

1.2 Areas with no data

5 areas have no HAs. Excluded from analyses!.

1.3 ‘Filling’ time series

Time series filled to inlcude 0s in months with no GNOs.

2 Prepared dataset

2.1 2017+ monthly

2.1.1 GNO

2.1.2 GNA

2.1.3 GNO/GNA

2.1.4 Supply

2.2 2018 by state

2.2.1 Absolute

2.2.2 % of yearly GNO

2.3 2018 relation of utilization measures

2.4 2018 relation of supply measure

3 Areas of interest

3.1 Locations

3.2 Absolute

3.3 Relative

4 Monthly distribution of max GNO

4.1 Distributions

Calculating proportion of GNO from one region & one month treated as 1.

4.2 Jan

4.3 Aug

4.4 Jan vs Aug

4.5 Jan vs Aug

5 Session info

## R version 3.6.1 (2019-07-05)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 18362)
## 
## Matrix products: default
## 
## locale:
## [1] LC_COLLATE=English_Australia.1252  LC_CTYPE=English_Australia.1252   
## [3] LC_MONETARY=English_Australia.1252 LC_NUMERIC=C                      
## [5] LC_TIME=English_Australia.1252    
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] googlesheets_0.3.0 naniar_0.4.2       kableExtra_1.1.0  
##  [4] sjmisc_2.8.2       summarytools_0.9.4 skimr_1.0.7       
##  [7] ggrepel_0.8.1      GGally_1.4.0       tmaptools_2.0-2   
## [10] tmap_2.3-1         sf_0.8-0           scales_1.0.0      
## [13] lubridate_1.7.4    janitor_1.2.0      readxl_1.3.1      
## [16] magrittr_1.5       forcats_0.4.0      stringr_1.4.0     
## [19] dplyr_0.8.3        purrr_0.3.3        readr_1.3.1       
## [22] tidyr_1.0.0        tibble_2.1.3       ggplot2_3.2.1     
## [25] tidyverse_1.2.1    pacman_0.5.1      
## 
## loaded via a namespace (and not attached):
##  [1] colorspace_1.4-1   pryr_0.1.4         ellipsis_0.3.0    
##  [4] class_7.3-15       visdat_0.5.3       leaflet_2.0.2     
##  [7] rgdal_1.4-7        sjlabelled_1.1.1   rprojroot_1.3-2   
## [10] dichromat_2.0-0    rstudioapi_0.10    xml2_1.2.2        
## [13] codetools_0.2-16   knitr_1.25         zeallot_0.1.0     
## [16] jsonlite_1.6       broom_0.5.2        rgeos_0.5-2       
## [19] shiny_1.4.0        compiler_3.6.1     httr_1.4.1        
## [22] backports_1.1.5    assertthat_0.2.1   fastmap_1.0.1     
## [25] lazyeval_0.2.2     cli_1.1.0          later_1.0.0       
## [28] htmltools_0.4.0    tools_3.6.1        gtable_0.3.0      
## [31] glue_1.3.1         reshape2_1.4.3     Rcpp_1.0.3        
## [34] cellranger_1.1.0   raster_3.0-7       vctrs_0.2.0       
## [37] nlme_3.1-140       leafsync_0.1.0     crosstalk_1.0.0   
## [40] insight_0.6.0      lwgeom_0.1-7       xfun_0.10         
## [43] rvest_0.3.5        mime_0.7           lifecycle_0.1.0   
## [46] XML_3.98-1.20      hms_0.5.2          promises_1.1.0    
## [49] RColorBrewer_1.1-2 yaml_2.2.0         pander_0.6.3      
## [52] reshape_0.8.8      stringi_1.4.3      e1071_1.7-2       
## [55] checkmate_1.9.4    rlang_0.4.1        pkgconfig_2.0.3   
## [58] bitops_1.0-6       matrixStats_0.55.0 evaluate_0.14     
## [61] lattice_0.20-38    rapportools_1.0    htmlwidgets_1.5.1 
## [64] labeling_0.3       tidyselect_0.2.5   plyr_1.8.4        
## [67] R6_2.4.0           magick_2.2         generics_0.0.2    
## [70] DBI_1.0.0          pillar_1.4.2       haven_2.2.0       
## [73] withr_2.1.2        units_0.6-5        RCurl_1.95-4.12   
## [76] sp_1.3-2           modelr_0.1.5       crayon_1.3.4      
## [79] KernSmooth_2.23-15 rmarkdown_1.16     grid_3.6.1        
## [82] digest_0.6.22      classInt_0.4-2     webshot_0.5.1     
## [85] xtable_1.8-4       httpuv_1.5.2       munsell_0.5.0     
## [88] viridisLite_0.3.0  tcltk_3.6.1